📺 12 comprehensive playlists to master
⬅️ machine learning, deep learning, and GenAI!


👨🏻‍💻 Each playlist is designed to be simple and understandable for beginners, and then gradually dive deeper into the topics.


😉 Machine Learning Basics (39 videos)

😉 Python for ML (9 videos)

😉 Optimization for ML (5 videos)

😉 Machine Learning with Practical Exercises (37 videos)

😉 Building Decision Trees from Scratch (13 videos)

😉 Building Neural Networks from Scratch (35 videos)

😉 Graph Neural Networks (6 videos)

😉 Computer Vision from Scratch (19 videos)

😉 Building LLM from Scratch (43 videos)

😉 Reasoning in LLMs from Scratch (22 videos)

😉 Building DeepSeek from Scratch (29 videos)

😉 Machine Learning in Production Environment (6 videos)



🌐 #Data_Science #DataScience
➖➖➖➖➖➖➖➖➖➖➖➖➖
https://t.me/CodeProgrammer ❤️

Python Data Visualization: Create impactful visuals, animations and dashboards [EN]

What you will learn :

The Sneak Peek program provides early access to Pearson video courses, allowing subscribers to study materials as they are being developed. Content can be updated throughout the entire creation cycle, including editing and post-production.

⚡ tags: #python #datascience

🖥 By: https://t.me/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

Python Data Visualization: Create impactful visuals, animations and dashboards [EN]

⚡ tags: #python #datascience #ai

🖥 By: https://t.me/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

🐍 10 Free Courses to Learn Python

👩🏻‍💻 These top-notch resources can take your #Python skills several levels higher. The best part is that they are all completely free!


1⃣ Comprehensive Python Course for Beginners

📃A complete video course that teaches Python from basic to advanced with clear and organized explanations.


2⃣ Intensive Python Training

📃A 4-hour intensive course, fast, focused, and to the point.


3⃣ Comprehensive Python Course

📃Training with lots of real examples and exercises.


4⃣ Introduction to Python

📃Learn the fundamentals with a focus on logic, clean coding, and solving real problems.


5⃣ Automate Daily Tasks with Python

📃Learn how to automate your daily project tasks with Python.


6⃣ Learn Python with Interactive Practice

📃Interactive lessons with real data and practical exercises.


7⃣ Scientific Computing with Python

📃Project-based, for those who want to work with data and scientific analysis.


8⃣ Step-by-Step Python Training

📃Step-by-step and short training for beginners with interactive exercises.


9⃣ Google's Python Class

📃A course by Google engineers with real exercises and professional tips.


1⃣ Introduction to Programming with Python

📃University-level content for conceptual learning and problem-solving with exercises and projects.

🌐 #DataScience #DataScience

✅ https://t.me/CodeProgrammer ✅

💯 This free course will increase your coding speed by 20 times!

👨🏻‍💻 The new DeepLearning.AI course on Claude Code, a very advanced intelligent assistant for coding that works for you like a real agent.


✅ Main skills:
🛑 Building RAG chatbots with full explanation
🛑 Configuring the CLAUDE.md file - project history logging
🛑 Writing complete tests and refactoring old code

➖ ➖ ➖

✅ More advanced workflows:
🛑 Working with git worktree for multiple features simultaneously
🛑 Full GitHub automation
🛑 Implementing pre- and post-deploy hooks

➖ ➖ ➖

✅ Real projects you will build in this course:
🛑 Converting notebooks into analytical dashboards
🛑 Connecting Figma designs to Claude
🛑 Building financial interfaces with Central Bank API
🛑 Automating UI tests with Playwright

🖥 Claude Code: Coding Assistant
🖥 Claude Code: Coding Assistant

🌐 #Data_Science #DataScience
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
https://t.me/Python53

🔅 Hands-On Data Science using SQL, Tableau, Python, and Spark

📝 Get practical, hands-on data science experience using SQL, Tableau, Python, and Spark.

🌐 Author: Ben Sullins
🔰 Level: Intermediate
⏰ Duration: 1h 13m

📋 Topics: #DataScience, #SQL, #Python

🔅 Hands-On #DataScience using #SQL, #Tableau, #Python, and #Spark

https://t.me/Python53 👌

Data scientists are in high demand right now: there's just too much data to analyze.

In this course, Tatev and Vae teach #Python for #DataScience.

You'll be doing projects and exploring EDA, A/B testing, BI, and more.

https://t.me/Python53 🌟